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Kwaak

Kwaak is an open-source Rust command-line tool with a chat-like terminal interface for directing AI agents to work on software codebases, including maintenance tasks such as improving tests, documentation and code quality. Its repository says the project is no longer actively maintained.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Kwaak — OpenViST project profile in Coding Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Consider Kwaak when exploring an agent-led workflow for codebase maintenance and you can provide Docker, a project Dockerfile and an LLM option. Account for the repository's statement that the project is no longer actively maintained.

Who it is for

  • Developers with software maintenance backlogs who want to delegate codebase tasks to AI agents.
  • Teams evaluating a terminal-based agent workflow that can run multiple agents in parallel.

Documented uses

  • Ask questions about a codebase and find examples in it.
  • Have agents write and execute code or work on test coverage, documentation and code quality.
  • Review and pull agent changes, or have an agent create a pull request.
Before you choose

Requirements & limits

The repository lists an MIT license. The README says users need an LLM API key or can use their own models through Ollama; a GitHub token is needed for optional pull-request, code-search and remote-push actions.

  • The project is written in Rust and presented as a CLI tool.
  • Docker is required, and the project Dockerfile should include code dependencies and Git and be Ubuntu-based.
  • The README names Ollama, OpenAI, Anthropic, Azure and models via OpenRouter as model options.
  • The repository explicitly states that Kwaak is no longer actively maintained.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install and initialize Kwaak for a project

Install Kwaak, prepare the project prerequisites, and create its configuration.

Before you start

  • Docker installed.
  • A project-root Dockerfile containing the dependencies needed to test and run the code; the Dockerfile should be Ubuntu-based and include git.
  • An API key for the chosen LLM.
  • One documented installation method: Homebrew, the Linux/macOS curl installer, Cargo, or Arch Linux pacman.

Steps

  1. Install Kwaak using one documented method: brew install bosun-ai/tap/kwaak, the Linux/macOS installer, the command below, the command below, or pacman -S kwaak on Arch Linux.

    Documented command
    cargo binstall kwaak
    Documented command
    cargo install kwaak

  2. In the project directory, run kwaak init and follow its setup prompts to create a configuration file.

  3. Review and adjust the configuration as needed. API keys may use env:, text:, or file: prefixes to specify environment, literal-text, or file sources.

Expected outcome

Kwaak is installed and a project configuration file has been created through its initialization flow.

Guide limitations

  • Kwaak is no longer actively maintained.
  • A GitHub token is additionally needed for pull requests, GitHub code search, and automatic pushes to a remote.
  • This recipe covers setup only; it does not verify that the project configuration or credentials work.
Documentation 1 ↗
Source-based practical guide

Start Kwaak in a configured project

Launch Kwaak in the project root and use its documented terminal controls to interact with an agent.

Before you start

  • Kwaak installed and initialized for the project.
  • Docker installed, a suitable project-root Dockerfile, and an API key for the chosen LLM.

Steps

  1. Change to the root of the project and run kwaak.

  2. Allow the initial codebase indexing to complete; the first indexing can take a while depending on project size.

  3. Type a message and press Ctrl-S to send it to the agent. Use /help to display available slash commands.

Expected outcome

Kwaak opens its terminal interface, indexes the codebase on first startup, and accepts messages for an agent.

Guide limitations

  • Initial indexing may take a while; subsequent startups are described as faster.
  • The project is no longer actively maintained.
  • The README describes agent capabilities but does not guarantee particular results for a given task.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
8 October 2026
Original website title
bosun-ai/kwaak · Official homepage title · retained in its source language
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